Model for seawater fouling and effects of temperature, flow velocity and surface free energy on seawater fouling

doi:10.1016/j.cjche.2016.01.012

Chinese Journal of Chemical Engineering ›› 2016, Vol. 24 ›› Issue (5): 658-664.DOI: 10.1016/j.cjche.2016.01.012

• 第25届中国过程控制会议专栏 • 上一篇下一篇

Model for seawater fouling and effects of temperature, flow velocity and surface free energy on seawater fouling

Dazhang Yang¹, Jianhua Liu^1,2, Xiaoxue E¹, Linlin Jiang¹

1 School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
2 Shanghai Key Laboratory of Multi-phase Flow and Heat Transfer, Shanghai 200093, China

收稿日期:2015-04-04 修回日期:2015-07-21 出版日期:2016-05-28 发布日期:2016-06-14
通讯作者: Jianhua Liu
基金资助:
Supported by the Leading Academic Discipline Project of Shanghai Municipal Education Commission (J50502) and the Construction of Shanghai Science and Technology Commission (13DZ2260900).

Model for seawater fouling and effects of temperature, flow velocity and surface free energy on seawater fouling

Dazhang Yang¹, Jianhua Liu^1,2, Xiaoxue E¹, Linlin Jiang¹

1 School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
2 Shanghai Key Laboratory of Multi-phase Flow and Heat Transfer, Shanghai 200093, China

Received:2015-04-04 Revised:2015-07-21 Online:2016-05-28 Published:2016-06-14
Contact: Heng Liang
Supported by:
Supported by the Leading Academic Discipline Project of Shanghai Municipal Education Commission (J50502) and the Construction of Shanghai Science and Technology Commission (13DZ2260900).

摘要/Abstract

摘要： A kinetic model was proposed to predict the seawater fouling process in the seawater heat exchangers. The new model adopted an expression combining depositional and removal behaviors for seawater fouling based on the Kern-Seaton model. The present model parameters include the integrated kinetic rate of deposition (k_d) and the integrated kinetic rate of removal (k_r),which have clear physical significance. A seawater-foulingmonitoring devicewas established to validate themodel. The experimental data werewell fitted to themodel, and the parameters were obtained in different conditions. SEM and EDX analyses were performed after the experiments, and the results show that the main components of seawater fouling are magnesium hydroxide and aluminum hydroxide. The effects of surface temperature, flow velocity and surface free energy were assessed by the model and the experimental data. The results indicate that the seawater fouling becomes aggravated as the surface temperature increased in a certain range, and the seawater fouling resistance reduced as the flowvelocity of seawater increased. Furthermore, the effect of the surface free energy ofmetals was analyzed, showing that the lower surface free energy mitigates the seawater fouling accumulation.

关键词: Fouling, Seawater, Model, Surface temperature, Flow velocity, Surface free energy

Abstract: A kinetic model was proposed to predict the seawater fouling process in the seawater heat exchangers. The new model adopted an expression combining depositional and removal behaviors for seawater fouling based on the Kern-Seaton model. The present model parameters include the integrated kinetic rate of deposition (k_d) and the integrated kinetic rate of removal (k_r),which have clear physical significance. A seawater-foulingmonitoring devicewas established to validate themodel. The experimental data werewell fitted to themodel, and the parameters were obtained in different conditions. SEM and EDX analyses were performed after the experiments, and the results show that the main components of seawater fouling are magnesium hydroxide and aluminum hydroxide. The effects of surface temperature, flow velocity and surface free energy were assessed by the model and the experimental data. The results indicate that the seawater fouling becomes aggravated as the surface temperature increased in a certain range, and the seawater fouling resistance reduced as the flowvelocity of seawater increased. Furthermore, the effect of the surface free energy ofmetals was analyzed, showing that the lower surface free energy mitigates the seawater fouling accumulation.

Key words: Fouling, Seawater, Model, Surface temperature, Flow velocity, Surface free energy

Dazhang Yang, Jianhua Liu, Xiaoxue E, Linlin Jiang. Model for seawater fouling and effects of temperature, flow velocity and surface free energy on seawater fouling[J]. Chinese Journal of Chemical Engineering, 2016, 24(5): 658-664.

Dazhang Yang, Jianhua Liu, Xiaoxue E, Linlin Jiang. Model for seawater fouling and effects of temperature, flow velocity and surface free energy on seawater fouling[J]. Chin.J.Chem.Eng., 2016, 24(5): 658-664.

参考文献

[1] S.J. Pugh, G.F. Hewitt, H. Müller-Steinhagen, Fouling during the use of seawater as coolant-The development of a user guide, Heat Transfer Eng. 26(1) (2005) 35-43.

[2] K.K. Satpathy, A.K. Mohanty, G. Sahu, S. Biswas, M.V.R. Prasad, M. Slvanayagam, Biofouling and its control in seawater cooled power plant cooling water system-A review, in:P. Tsvetkov (Ed.), Nuclear Power, InTech. 2010, pp. 192-242.

[3] H.Z. Li, Y. Zhang, H.C. Shi, J.L. Wang, Application of BOD biosensor for marine monitoring, Mar. Environ. Sci. 21(3) (2002) 14-17(in Chinese).

[4] D. Rubio, C. López-Galindo, J. Casanueva, E. Nebot, Monitoring and assessment of an industrial antifouling treatment. seasonal effects and influence of water velocity in an open once-through seawater cooling system, Appl. Therm. Eng. 67(2014) 378-387.

[5] A.Z. Sahin, S.M. Zubair, A.Z. Al-Garni, R. Kahraman, Effect of fouling on operational cost in pipe flow due to entropy generation, Energ. Convers. Manage. 41(2000) 1485-1496.

[6] M.A.I. Said, I.A. Sami, The influence of condenser cooling seawater fouling on the thermal performance of a nuclear power plant, Ann. Nucl. Energy 76(2015) 421-430.

[7] M.E. Walke, I. Safari, R.B. Theregowda, M.K. Hsieh, J. Abbasian, H. Arastoopour, D.A. Dzombak, D.C.Miller, Economic impact of condenser fouling in existing thermoelectric power plants, Energy 44(2013) 429-437.

[8] Z.K. Liu, Z.R.Wang, H.Z. Tao, Research progress in heat exchanger fouling, Chem. Ind. Eng. Prog. 30(11) (2011) 2364-2368(in Chinese).

[9] D. Hasson, M. Avirel,W. Resnick, T. Rozenman, S.Windreich, Mechanism of calcium carbonate scale deposition on heat-transfer surfaces, Ind. Eng. Chem. Fundam. 7(1) (1968) 59-65.

[10] E. Gazit, D. Hasson, Scale deposition from an evaporating falling film, Desalination 3(1975) 339-351.

[11] E. Nebot, J.F. Casanueva, T. Casanueva, D. Sales, Model for fouling deposition on power plant steam condensers cooled with seawater:Effect of water velocity and tube material, Int. J. Heat Mass Transf. 50(2007) 3351-3358.

[12] D.Q. Kern, R.E. Seaton, A theoretical analysis of thermal surface fouling, Chem. Eng. Prog. 4(1959) 258-262.

[13] J. Taborek, T. Aoki, R.B. Ritter, J.W. Palen, J.G. Knudsen, Predictivemethods for fouling behavior, Chem. Eng. Prog. 68(7) (1972) 69-78.

[14] J. Taborek, T. Aoki, R.B. Ritter, J.W. Palen, J.G. Knudsen, Fouling:themajor unresolved problem in heat transfer, Chem. Eng. Prog. 68(2) (1972) 59-68.

[15] Z.H. Quan, Y.C. Chen, C.F. Ma, Experimental study of fouling on heat transfer surface during forced convective heat transfer, Chin. J. Chem. Eng. 16(4) (2008) 535-540.

[16] T.Q. Liu, X.H. Wang, Fouling induction period of CaCO₃ on heated surface, Chin. J. Chem. Eng. 7(3) (1999) 230-236.

[17] M. Izadi, D.K. Aidun, P. Marzocca, Experimental investigation of fouling behavior of 90/10 Cu/Ni tube by heat transfer resistance monitoring method, J. Heat Transf. 133(10) (2011) 4770-4773.

[18] S.R. Yang, Z.M. Xu, L.F. Sun, Fouling and countermeasures for heat transfer equipment, Scientific Press, Beijing, 2004279-578(in Chinese).

[19] M. Izadi, D.K. Aidun, P. Marzocca, H. Lee, Integrated experimental investigation of seawater composite fouling effect on the 90/10 Cu/Ni tube, Appl. Therm. Eng. 31(2011) 2464-2473.

[20] Z.Q. Ning, Y.C. Zhou, L.Q. Sun, H.M. Gu, D. Zhou, D. Xu, Study on the thermal decomposition kinetics of magnesium hydroxide, J. Mol. Sci. 25(1) (2009) 27-30(in Chinese).

[21] B. Larsson, Ultrafiltration membranes and applications, Plenum Press, New York, 1980.

[22] D.E. Packham, Surface energy, surface topography and adhesion, Int. J. Adhes. Adhes. 23(2003) 437-448.

[23] A. Razmjou, J. Mansouri, V. Chen, The effects of mechanical and chemical modification of TiO₂ nanoparticles on the surface chemistry, structure and fouling performance of PES ultrafiltration membranes, J. Membr. Sci. 328(2011) 73-84.

[24] J.R.H. Du, S. Peldszus, P.M. Huck, X.S. Feng, Modification of membrane surfaces via microswelling for fouling control in drinking water treatment, J. Membr. Sci. 475(2015) 488-495.

Model for seawater fouling and effects of temperature, flow velocity and surface free energy on seawater fouling

Model for seawater fouling and effects of temperature, flow velocity and surface free energy on seawater fouling

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	Huiqi Wang, Jianpo Ren, Shihao Zhang, Jiayu Dai, Yue Niu, Ketao Shi, Qiuxiang Yin, Ling Zhou. Measurement and correlation of solubility of 9-fluorenone in 11 pure organic solvents from T = 283.15 to 323.15 K[J]. 中国化学工程学报, 2023, 60(8): 235-241.
[2]	Jindong Dai, Chi Zhai, Jiali Ai, Guangren Yu, Haichao Lv, Wei Sun, Yongzhong Liu. A cellular automata framework for porous electrode reconstruction and reaction-diffusion simulation[J]. 中国化学工程学报, 2023, 60(8): 262-274.
[3]	Borui Liu, Tao Zhang, Yi Zheng, Kailong Li, Hui Pan, Hao Ling. A dynamic control structure of liquid-only transfer stream distillation column[J]. 中国化学工程学报, 2023, 59(7): 135-145.
[4]	Zhonghao Li, Yuanyuan Yang, Huanong Cheng, Yun Teng, Chao Li, Kangkang Li, Zhou Feng, Hongwei Jin, Xinshun Tan, Shiqing Zheng. Measurement and model of density, viscosity, and hydrogen sulfide solubility in ferric chloride/trioctylmethylammonium chloride ionic liquid[J]. 中国化学工程学报, 2023, 59(7): 210-221.
[5]	Yaran Bu, Changchun Wu, Lili Zuo, Qian Chen. The calculation and optimal allocation of transmission capacity in natural gas networks with MINLP models[J]. 中国化学工程学报, 2023, 59(7): 251-261.
[6]	Junhao Wang, Shugang Ma, Peng Chen, Zhipeng Li, Zhengming Gao, J. J. Derksen. Mixing of miscible shear-thinning fluids in a lid-driven cavity[J]. 中国化学工程学报, 2023, 58(6): 112-123.
[7]	Weikai Ren, Runsong Dai, Ningde Jin. Modeling of liquid film thickness around Taylor bubbles rising in vertical stagnant and co-current slug flowing liquids[J]. 中国化学工程学报, 2023, 58(6): 179-194.
[8]	Hongwei Liang, Wenling Li, Zisheng Feng, Jianming Chen, Guangwen Chu, Yang Xiang. Numerical simulation of gas-liquid flow in the bubble column using Wray-Agarwal turbulence model coupled with population balance model[J]. 中国化学工程学报, 2023, 58(6): 205-223.
[9]	Yun-Zhang Liu, Lu-Yao Zhang, Dan He, Li-Zhen Chen, Zi-Shuai Xu, Jian-Long Wang. Solubility measurement, correlation and thermodynamic properties of 2, 3, 4-trichloro-1, 5-dinitrobenzene in fifteen mono-solvents at temperatures from 278.15 to 323.15 K[J]. 中国化学工程学报, 2023, 58(6): 224-233.
[10]	Danlei Chen, Yiqing Luo, Xigang Yuan. Cascade refrigeration system synthesis based on hybrid simulated annealing and particle swarm optimization algorithm[J]. 中国化学工程学报, 2023, 58(6): 244-255.
[11]	Guangyuan Chen, Tong Zhou, Meng Zhang, Zhongxiang Ding, Zhikun Zhou, Yuanhui Ji, Haiying Tang, Changsong Wang. Effects of heavy metal ions Cu²⁺/Pb²⁺/Zn²⁺ on kinetic rate constants of struvite crystallization[J]. 中国化学工程学报, 2023, 57(5): 10-16.
[12]	Li Xia, Yule Pan, Tingting Zhao, Xiaoyan Sun, Shaohui Tao, Yushi Chen, Shuguang Xiang. Estimating heat capacities of liquid organic compounds based on elements and chemical bonds contribution[J]. 中国化学工程学报, 2023, 57(5): 30-38.
[13]	Xiongzhuo Zhu, Dali Gao, Chong Yang, Chunjie Yang. A blast furnace fault monitoring algorithm with low false alarm rate: Ensemble of greedy dynamic principal component analysis-Gaussian mixture model[J]. 中国化学工程学报, 2023, 57(5): 151-161.
[14]	Pengbao Lian, Lizhen Chen, Dan He, Guangyuan Zhang, Zishuai Xu, Jianlong Wang. Crystallization thermodynamics of 2,4(5)-dinitroimidazole in binary solvents[J]. 中国化学工程学报, 2023, 57(5): 173-182.
[15]	Haoshan Duan, Xi Meng, Jian Tang, Junfei Qiao. Prediction of NO_x concentration using modular long short-term memory neural network for municipal solid waste incineration[J]. 中国化学工程学报, 2023, 56(4): 46-57.